2017
Assessing the reliability of self-reported weight for the management of heart failure: application of fraud detection methods to a randomised trial of telemonitoring
Steventon A, Chaudhry SI, Lin Z, Mattera JA, Krumholz HM. Assessing the reliability of self-reported weight for the management of heart failure: application of fraud detection methods to a randomised trial of telemonitoring. BMC Medical Informatics And Decision Making 2017, 17: 43. PMID: 28420352, PMCID: PMC5395848, DOI: 10.1186/s12911-017-0426-4.Peer-Reviewed Original ResearchMeSH KeywordsBody WeightDiagnostic ErrorsFemaleFraudHeart FailureHumansMaleMiddle AgedMonitoring, AmbulatoryReproducibility of ResultsSelf ReportTelemedicineConceptsEnd-digit preferenceHeart failureHeart Failure Outcomes trialEffective preventive careCharacteristics of patientsSelf-reported weightHealth care professionalsSix-month trial periodIntervention patientsMore medicationsAccuracy of reportingOutcome trialsTrial enrollmentPreventive careClinical managementUnnecessary treatmentDesign of initiativesCare professionalsPatientsRegistration numberAlert fatigueElectronic medical dataTrial periodTrialsNumber of days
2015
Do Non-Clinical Factors Improve Prediction of Readmission Risk? Results From the Tele-HF Study
Krumholz HM, Chaudhry SI, Spertus JA, Mattera JA, Hodshon B, Herrin J. Do Non-Clinical Factors Improve Prediction of Readmission Risk? Results From the Tele-HF Study. JACC Heart Failure 2015, 4: 12-20. PMID: 26656140, PMCID: PMC5459404, DOI: 10.1016/j.jchf.2015.07.017.Peer-Reviewed Original ResearchConceptsReadmission ratesPatient-reported informationHeart failureHealth statusReadmission riskC-statisticRisk scorePsychosocial variablesMedical record abstractionWeeks of dischargeReadmission risk modelNon-clinical factorsCandidate risk factorsReadmission risk predictionRecord abstractionClinical variablesPatient interviewsMedical recordsRisk factorsPatientsPsychosocial informationPsychosocial characteristicsTelephone interviewsRisk predictionScores